|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
NLM17750465X |
| 003 |
DE-627 |
| 005 |
20250209050802.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231223s2000 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/83.862646
|2 doi
|
| 028 |
5 |
2 |
|a pubmed25n0592.xml
|
| 035 |
|
|
|a (DE-627)NLM17750465X
|
| 035 |
|
|
|a (NLM)18262999
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Chang, S G
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Wavelet thresholding for multiple noisy image copies
|
| 264 |
|
1 |
|c 2000
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 25.06.2010
|
| 500 |
|
|
|a Date Revised 11.02.2008
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a This correspondence addresses the recovery of an image from its multiple noisy copies. The standard method is to compute the weighted average of these copies. Since the wavelet thresholding technique has been shown to effectively denoise a single noisy copy, we consider in this paper combining the two operations of averaging and thresholding. Because thresholding is a nonlinear technique, averaging then thresholding or thresholding then averaging produce different estimators. By modeling the signal wavelet coefficients as Laplacian distributed and the noise as Gaussian, our investigation finds the optimal ordering to depend on the number of available copies and on the signal-to-noise ratio. We then propose thresholds that are nearly optimal under the assumed model for each ordering. With the optimal and near-optimal thresholds, the two methods yield similar performance, and both show considerable improvement over merely averaging
|
| 650 |
|
4 |
|a Letter
|
| 700 |
1 |
|
|a Yu, B
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Vetterli, M
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 9(2000), 9 vom: 15., Seite 1631-5
|w (DE-627)NLM09821456X
|x 1057-7149
|7 nnns
|
| 773 |
1 |
8 |
|g volume:9
|g year:2000
|g number:9
|g day:15
|g pages:1631-5
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/83.862646
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 9
|j 2000
|e 9
|b 15
|h 1631-5
|